Sara runs through the many ways of providing an accessible name to an icon button, backed up with Scott’s testing.
Here he is talking about custom properties in CSS as part of his Making Future Interfaces video series.
This is a really great, balanced profile of the Indie Web movement. There’s thoughtful criticism alongside some well-deserved praise:
If we itemize the woes currently afflicting the major platforms, there’s a strong case to be made that the IndieWeb avoids them. When social-media servers aren’t controlled by a small number of massive public companies, the incentive to exploit users diminishes. The homegrown, community-oriented feel of the IndieWeb is superior to the vibe of anxious narcissism that’s degrading existing services.
Tantek’s barnstorming closing talk from Beyond Tellerrand. This is well worth 30 minutes of your time.
Own your domain. Own your content. Own your social connections. Own your reading experience. IndieWeb services, tools, and standards enable you to take back your web.
Ted Chiang has new collection out‽ Why did nobody tell me‽
Okay, well, technically this is Joyce Carol Oates telling me. In any case …woo-hoo!!!
What would Wiener think of the current human use of human beings? He would be amazed by the power of computers and the internet. He would be happy that the early neural nets in which he played a role have spawned powerful deep-learning systems that exhibit the perceptual ability he demanded of them—although he might not be impressed that one of the most prominent examples of such computerized Gestalt is the ability to recognize photos of kittens on the World Wide Web.
Thorough (and grim) research from Chris.
A terrific six-part series of short articles looking at the people behind the history of Artificial Intelligence, from Babbage to Turing to JCR Licklider.
- When Charles Babbage Played Chess With the Original Mechanical Turk
- Invisible Women Programmed America’s First Electronic Computer
- Why Alan Turing Wanted AI Agents to Make Mistakes
- The DARPA Dreamer Who Aimed for Cyborg Intelligence
- Algorithmic Bias Was Born in the 1980s
- How Amazon’s Mechanical Turkers Got Squeezed Inside the Machine
The history of AI is often told as the story of machines getting smarter over time. What’s lost is the human element in the narrative, how intelligent machines are designed, trained, and powered by human minds and bodies.
Chris ponders the motivations behind companies sharing their design systems publicly. Personally, I’ve always seen it as a nice way of sharing work and saying “here’s what worked for us” without necessarily saying that anyone else should use the same system.
That said, I think Chris makes a good poin here:
My parting advice is actually to the makers of public design systems: clearly identify who this design system is for and what they are able to do with it.
Wouldn’t it be great if every component in your design system had accessibility acceptance criteria? Paul has some good advice for putting those together:
- Start with accessibility needs
- Don’t be too generic
- Don’t define the solution
- Iterate criteria
These diagrams of early networks feel like manuscripts that you’d half expect to be marked with “Here be dragons” at the edges.
Steven Pemberton’s presentation on the printing press, the internet, Moore’s Law, and exponential growth.
Eric is down about the current dismal state of accessibility on the web. Understandably so. It’s particularly worrying that the problem might be embedded into hiring practices:
But it’s not all doom and gloom. Eric also points to initiatives that could really help.
Still, this is a tough question to ask out loud:
What if we’re losing?
I have no doubt that showing just the top outrageous tweets leads to more engagement. If you’re constantly hitting people with outlandish news stories they’ll open the app more often and interact and post about what they think so the cycle continues.
Programming lessons from Umberto Eco and Emily Wilson.
Converting the analog into the digital requires discretization, leaving things out. What we filter out—or what we focus on—depends on our biases. How do conventional translators handle issues of bias? What can programmers learn from them?
The forbidden symmetry of Penrose tiles and quasicrystals.
I linked to this a while back but now this great half hour documentary by Jessica Yu is ready and you can watch the whole thing online: Tim Berners-Lee, the birth of the web, and where the web has gone since.
In the scenes describing the early web, there’s footage of the recreated Line Mode Browser—how cool is that‽
On the 50th anniversary of Vannevar Bush’s As We May Think, Tim Berners-Lee delivered this address in 1995.
To a large part we have MEMEXes on our desks today. We have not yet seen the wide scale deployment of easy human interfaces for editing hypertext and making links. (I find this constantly frustrating, but always assume will be cured by cheap commercial products within the year.)